migrate router for memory wip

llama_stack/examples/router-table-run.yaml

@@ -3,26 +3,27 @@ image_name: local
 docker_image: null
 conda_env: local
 apis_to_serve:
-- inference
+# - inference
 - memory
+- telemetry
 provider_map:
-  # use builtin-router as dummy field
-  memory: builtin-router
-  inference: builtin-router
+  telemetry:
+    provider_id: meta-reference
+    config: {}
 provider_routing_table:
-  inference:
-    - routing_key: Meta-Llama3.1-8B-Instruct
-      provider_id: meta-reference
-      config:
-        model: Meta-Llama3.1-8B-Instruct
-        quantization: null
-        torch_seed: null
-        max_seq_len: 4096
-        max_batch_size: 1
-    - routing_key: Meta-Llama3.1-8B
-      provider_id: remote::ollama
-      config:
-        url: http:ollama-url-1.com
+  # inference:
+  #   - routing_key: Meta-Llama3.1-8B-Instruct
+  #     provider_id: meta-reference
+  #     config:
+  #       model: Meta-Llama3.1-8B-Instruct
+  #       quantization: null
+  #       torch_seed: null
+  #       max_seq_len: 4096
+  #       max_batch_size: 1
+  #   - routing_key: Meta-Llama3.1-8B
+  #     provider_id: remote::ollama
+  #     config:
+  #       url: http:ollama-url-1.com
   memory:
     - routing_key: keyvalue
       provider_id: remote::pgvector
@@ -31,6 +32,7 @@ provider_routing_table:
         port: 5432
         db: vectordb
         user: vectoruser
+        password: xxxx
     - routing_key: vector
       provider_id: meta-reference
       config: {}